package com.hkbigdata.transfrom;

import com.hkbigdata.entry.WaterSensor;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import java.util.Arrays;
import java.util.List;

/**
 * @author liuanbo
 * @creat 2023-04-19-19:08
 * @see 2194550857@qq.com
 */
public class Flink09_TransFrom_Reduce {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);



        List<WaterSensor> waterSensors = Arrays.asList(
                new WaterSensor("ws_001", 1607527992000L, 20),
                new WaterSensor("ws_001", 1607527992001L, 22),
                new WaterSensor("ws_001", 1607527992002L, 33),
                new WaterSensor("ws_002", 1607527992003L, 44),
                new WaterSensor("ws_002", 1607527992004L, 22),
                new WaterSensor("ws_002", 1607527992001L, 50)
        );

        SingleOutputStreamOperator<WaterSensor> reduce = env.fromCollection(waterSensors)
                .keyBy(WaterSensor::getId)
                .reduce(new ReduceFunction<WaterSensor>() {
                    @Override
                    public WaterSensor reduce(WaterSensor value1, WaterSensor value2) throws Exception {
                        return new WaterSensor(value1.getId(), value1.getTs(), value1.getVc() + value2.getVc());
                    }
                });

        reduce.print();


        env.execute();




    }
}
